The Analysis of Optimal Portfolio Using Single Index Model, The Case of Stocks Listed In Jakarta Islamic Index 2010-2013

The purpose of this study is to apply the single index model in order to make an optimal portfolio for stocks listed in Jakarta Islamic Index (JII). The model is used in order to analyze what stocks to be chosen as components of a portfolio stock and how much proportion to be invested in each stock. This research use stocks that are listed in Jakarta Islamic Index. The reason for choosing stocks listed in JII is because many Indonesians, mostly Muslims, still not familiar with the stock that is accordance with the requirement of Sharia. The data use in this study is secondary data, among others: quarterly stock price data during period of 2010-2013, composite index, interest rate. Sample in this study are 28 companies’ stocks listed in the Jakarta Islamic Index, two companies’ stock did not meet the criteria of the sample because the companies start listed in the index in 2012. Data analysis methods use in this study are: stocks’ return and expected return, stocks’ risk, market’s return and risk, beta and alpha, variance of residual error, rate of excess return to beta, determine the cut off rate, proportion of fund invested in optimal portfolio, and risk of optimal portfolio. Result of this study showed that there are 10 stocks that meet the criteria of optimal portfolio formation. Those stocks and their proportion are: 24,852% stock of JMSR, 16,587% stock of ASRI, 14,721% stock of INDF, 15,398% stock of AKRA, 11,835% stock of LPKR, 5,684% EXCL, 5,184% MAPI, 3,143% CPIN, 1,511% SMGR and 1,086% stock of KLBF. Based on the calculation, the portfolio’s expected return is 10,33% and the risk is 2,74%.

The Effect of Foreign Exchange Rate, Inflation Rate and Market Return on Return of Bank Perseros’ Stock

Stock return is affected by many factors, among others are: macro economics environments, political condition, fundamental corporate performance, financial market condition, etc. The purpose of this study is to determine the effect of foreign exchange rate, inflation rate and market return on bank perseros’ stock (government owned banks). We take the case of bank perseros’ because those banks are among the biggest banks in Indonesia in terms of capital. Our observation period starts from January 2010 to September 2014. This period of observation is chosen because it was after the crisis of 2008 and therefore during the time the effect of the crisis on Indonesia’s financial market was mild. Due to the IPO of Bank Tabungan Negara was in the late year of 2009, therefore our period of research run from January 2010 until September 2014.Our justification to use the foreign exchange rate, inflation rate and market return as independent variable is because the foreign exchange rate, inflation rate are considered to be macro economics variable, and market return is financial market variable. The data used in this study is monthly secondary data of stock price data of bank perseros’, the foreign exchange rate, inflation rate and market return. In this study, the independent variables used are the foreign exchange rate (X1), inflation rate (X2) and market return (X3), while the dependent variable used is return of bank perseros’ stock (Y). Result of study shows that the regression function is: Y = - 0.036 + 0.0000033 X1 + 0.046 X2 + 1.531 X3. The test of hypothesis in this study shows that simultaneously the foreign exchange rate (X1), inflation rate (X2) and market return (X3) have significant effect on return of bank perseros’ stock (Y). This is shown by sig. F = 0.000 < 5% (α). Partially the effect of foreign exchange rate and inflation rate on return of bank perseros’ stock are not significant, these are shown by p-value of X1 = 0.468 and p-value of X2 = 0.89 which are greater than α of 5%. Whereas the market return has significant partial effect on return of bank perseros’ stock, the p-value is 0.000. The effect of independent variable on return stock simultaneously is 53.1%. Whereas partial effect of each X1, X2 and X3 is 0.24%, 0.0081% and 52.27% The conclusion of the study is: macro economics and financial markets simultaneously have effect on return of bank perseros’ stock. However the financial market variable has much greater effect compare to the other variables.

The Effect of Working Capital, Leverage, and Firm Size towards Corporate Performance with Liquidity ss Moderating Variables

The purpose of this research to analyse the effect of working capital, leverage, firm size and liquidity on corporate performance, with liquidity as a moderating variable. Samples in this research uses the 29 companies listed on IDX are in the category LQ45 period February 2013 - February 2016. The analytical tool used in this research is multiple linear regression models with path analysis. These results indicate that working capital positive effect on corporate performance, firm size negative effect on corporate performance. Leverage and Liquidity are no effect on corporate performance. Liquidity as a moderating variable indicate strengthen the effect of working capital while liquidity weakens the leverage effect on corporate performance.

Influence of The Ratio of Profit Margin, Financial Leverage Ratio, Current Ratio, Quick Ratio Against The Conditions and Financial Distress

Financial distress is occurred before bankruptcy. This condition could be predicted by analyzing Financial Statement. This study aims to determine whether there is significant influence between profit margin ratio, financial leverage ratio, current ratio, and quick ratio on Financial distress to determine how much their influeance on Financial distress in a Company. Based on result of data processing using SPSS 17.0 version, the author obtained value of multiple correlation coeffiicient in 2008 is 0.933 (R), it means X1 (profit margin ratio), X2 (financial leverage ratio), X3 (current ratio) and X4 (quick ratio) jointly have strong and positive relationship in predicting Financial distress, And for value of multiple correlation coefficient in 2009, obtained 0.582 (R), it means X1 (profit margin ratio), X2 (financial leverage ratio), X3 (current ratio) and X4 (quick ratio) jointly have strong and positive relationship in predicting Financial distress. Based on F-test calculation in 2008, multiple linear regression is obtained that Fhitung > Ftable. Value of Fhitung is 40,962, whereas value of Ftable is 2,922, it means that Ha is rejected and Ho is accepted. This means regression model can be used to predict financial distress condition or it can be said that X1 (profit margin ratio), X2 (financial leverage ratio), X3 (current ratio) and X4 (quick ratio) jointly influence significanly on Company’s Financial Statement condition (Y). whereas for F-test calculation in 2009, multiple linear regression is obtained that Fhitung > Ftable , value of Fhitung is 13,839 and value of Ftable is 2,922. it means that Ha is rejected and Ho is accepted. This means regression model can be used to predict financial distress condition or it can be said that X1 (profit margin ratio), X2 (financial leverage ratio), X3 (current ratio) and X4 (quick ratio) jointly influence significantly on Company’s Financial Statement condition (Y).

The Analysis of Traangle Fraud Factors to Fraudulent Financial Statement

This This research aims to analyze the fraud triangle against fraudulent financial statement. Based on research conducted [13] et al., This study developed a variable of the fraud triangle that can be used,namely the pressure is proxied by financial stability (AGROW), external pressure (LEV) and financial targets (ROA). Opportunities are proxied by ineffective monitoring (IND). And rationalization proxied by the change of auditors (AUDCHANGE). While fraudulent financial statements are measured by [2] Score. The population in this research was manufacturing companies in 2012-2014 listed in the Indonesia Stock Exchange. Companies that take into population is 152 companies, while the research sample was 47 companies and a number of observations made during the years 2012-2014 is 141 items, observations. Statistical tests showed that empirically variable pressure proxied by financial stability (AGROW) has a significant positive effect on the level of risk of fraudulent financial statements. While variable pressure is proxied by external pressure (LEV) and financial targets (ROA) has positive and negative influences were insignificant. Opportunities are proxied by ineffective monitoring (IND) have no significant negative influence. And rationalization is proxied by the change of auditors (AUDCHANGE) had no significant positive effect.

Analysis of Influencing Factors Regional Original Revenue (Pad) in The Provincial Government of Dki Jakarta

The purpose of this study were (1) to Obtain empirical evidence of the influence of the Population against region income, (2) the effect of GRDP against the local revenue, (3) Obtain a picture of the effect of government spending on regional revenue, (4) describes the effect of Population, GRDP and government spending to regional revenue, (5) to analyze the influence of Total Population, GRDP and government expenditure to local revenue. In this sampling technique, Researchers used purposive sampling is done by taking the subject is not based on strata, random or region but is based to Obtain a sample of Jakarta's financial statements that will be Examined are the data of 2001 to 2014. The results Showed that (1) partially contained negative effect but not significant number of inhabitants of the regional income, (2) partially no positive effect but not significant GRDP against the local revenue, (3) partially contained positive and significant impact government expenditure of the local revenue, (4) there is simultaneously a positive and significant influence between Population, GRDP and government spending to regional revenue, (5) the influence of Total Population, GRDP and government spending to local revenue amounted to 92.7% while The remaining 7.3% is influenced by other factors outside the models of this study.